code: def dtypes_values_casting_dtype(
      draw,
      *,
      arr_func,
      get_dtypes_none=True,
      special=False,
  ):
      dtypes, values = [], []
      casting = draw(
          st.sampled_from(
              ["no", "equiv", "safe", "same_kind", "unsafe"]
          )
      )
      for func in arr_func:
          typ, val = draw(func())
          dtypes += typ if isinstance(typ, list) else [typ]
          values += val if isinstance(val, list) else [val]
  
      if casting in ["no", "equiv"] and len(dtypes) > 0:
          dtypes = [dtypes[0]] * len(dtypes)
  
      if special:
          dtype = draw(st.sampled_from(["bool", None]))
      elif get_dtypes_none:
          dtype = draw(st.sampled_from([None]))
      elif casting in ["no", "equiv"]:
          dtype = draw(st.just(None))
      elif casting in ["safe", "same_kind"]:
          dtype = draw(_get_safe_casting_dtype(dtypes=dtypes))
      else:
          dtype = draw(st.sampled_from([None]))
      return dtypes, values, casting, dtype
  
file_path: ivy/ivy_tests/test_ivy/test_frontends/test_numpy/helpers.py
imports: import numpy
  from hypothesis import strategies
  import ivy
  import ivy_tests.test_ivy.helpers
  import ivy.functional.frontends.numpy
  from ivy_tests.test_ivy.helpers.pipeline_helper import BackendHandler, get_frontend_config
  import ivy_tests.test_ivy.helpers.globals
label_desc: Use image node_id 7 for calling a global function with example usage: dtypes_values_casting_dtype(draw) and returns: dtypes,  values,  casting,  dtype